| The extreme classification repository: multi-label datasets & code K Bhatia, K Dahiya, H Jain, M Anshul, Y Prabhu, M Varma http://manikvarma.org/downloads/XC/XMLRepository.html, 2016 | 210* | 2016 |
| Automatic detection of bike-riders without helmet using surveillance videos in real-time K Dahiya, D Singh, CK Mohan 2016 International Joint Conference on Neural Networks (IJCNN), 3046-3051, 2016 | 168 | 2016 |
| Deepxml: A deep extreme multi-label learning framework applied to short text documents K Dahiya, D Saini, A Mittal, A Shaw, K Dave, A Soni, H Jain, S Agarwal, ... Proceedings of the 14th ACM international conference on web search and data …, 2021 | 99 | 2021 |
| Extreme multi-label learning with label features for warm-start tagging, ranking & recommendation Y Prabhu, A Kag, S Gopinath, K Dahiya, S Harsola, R Agrawal, M Varma Proceedings of the eleventh ACM international conference on web search and …, 2018 | 93 | 2018 |
| Decaf: Deep extreme classification with label features A Mittal, K Dahiya, S Agrawal, D Saini, S Agarwal, P Kar, M Varma Proceedings of the 14th ACM international conference on web search and data …, 2021 | 80 | 2021 |
| Siamesexml: Siamese networks meet extreme classifiers with 100m labels K Dahiya, A Agarwal, D Saini, K Gururaj, J Jiao, A Singh, S Agarwal, ... International conference on machine learning, 2330-2340, 2021 | 45 | 2021 |
| Ngame: Negative mining-aware mini-batching for extreme classification K Dahiya, N Gupta, D Saini, A Soni, Y Wang, K Dave, J Jiao, G K, P Dey, ... Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 27 | 2023 |
| Multi-modal extreme classification A Mittal, K Dahiya, S Malani, J Ramaswamy, S Kuruvilla, J Ajmera, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 14 | 2022 |
| Deep encoders with auxiliary parameters for extreme classification K Dahiya, S Yadav, S Sondhi, D Saini, S Mehta, J Jiao, S Agarwal, P Kar, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11 | 2023 |
| Identification and analysis of a unique cell selection phenomenon in public unlicensed cellular networks through machine learning SM Kala, V Sathya, K Dahiya, T Higashino, H Yamaguchi IEEE Access 10, 87282-87301, 2022 | 9 | 2022 |
| LTE-LAA cell selection through operator data learning and numerosity reduction SM Kala, K Dahiya, V Sathya, T Higashino, H Yamaguchi Pervasive and Mobile Computing 83, 101586, 2022 | 9 | 2022 |
| Optimizing unlicensed coexistence network performance through data learning SM Kala, V Sathya, K Dahiya, T Higashino, H Yamaguchi International Conference on Mobile and Ubiquitous Systems: Computing …, 2021 | 9 | 2021 |
| Building matters: Spatial variability in machine learning based thermal comfort prediction in winters B Lala, SM Kala, A Rastogi, K Dahiya, H Yamaguchi, A Hagishima 2022 IEEE International Conference on Smart Computing (SMARTCOMP), 342-348, 2022 | 8 | 2022 |
| The Challenge of Multiple Thermal Comfort Prediction Models: Is TSV Enough? B Lala, A Biju, A Rastogi, K Dahiya, SM Kala, A Hagishima Buildings 13 (4), 890, 2023 | 5 | 2023 |
| Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters B Lala, SM Kala, A Rastogi, K Dahiya, A Hagishima 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 3 | 2022 |
| Mitigating Trade-Off in Unlicensed Network Optimization Through Machine Learning and Context Awareness SM Kala, V Sathya, K Dahiya, T Higashino, H Yamaguchi IEEE Access 11, 7873-7891, 2023 | 2 | 2023 |
| Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss K Dahiya, D Ortego, D Jiménez arXiv preprint arXiv:2410.20401, 2024 | | 2024 |
| Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval S Yadav, D Saini, A Buvanesh, B Paliwal, K Dahiya, S Asokan, Y Prabhu, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Scalable Visual Computing Applications K Dahiya, CK Mohan IIT HYDERABAD, 2016 | | 2016 |
| Deep Extreme Multi-label Learning K Dahiya | | |
Manik VarmaDistinguished Scientist and Vice President, Microsoft Research IndiaVerified email at microsoft.com
